Social Networking Content Supplemented Web Page Linker

Abstract

The present invention relates to a method and system for non-intrusively associating encrypted supplemental content with web pages. The method involves creating user profiles for community-based content association, allowing users to create and manage supplemental content, and associating the content with specific web pages using URL, vision technology, and/or content recognition technologies. The system provides secure online transactions using smart contracts and blockchain technologies while delivering real-time notifications to users. Additionally, the platform offers personalized content recommendations, content moderation, and privacy controls for managing access to content. Guest access allows unregistered users to browse and view content before registration. The system ensures the integrity of the web page by preserving its original structure while enabling the non-intrusive display of supplemental content.

1 . A system for associating supplemental content with non-local web-based digital resources while retaining copyright, terms of service, CCPA, and GDPR compliance, comprising:
 (a) one or more processors configured to execute instructions within an interface capable of accessing web-based digital resources, including but not limited to browser-based environments, embedded web views, and other web-accessible platforms; and   (b) memory storing instructions that, when executed by the one or more processors, cause the system to:   (i) maintain user accounts enabling the creation, deletion, update, detection, and access of supplemental content via web-accessible platforms;   (ii) generate unique identifiers for web-based digital resources through content analysis techniques, including at least one or more selected from the group consisting of content parsing, ciphers, URL recording, photo recognition, image encoding/decoding, content parsing for proprietary codes, but not limited to these methods;   (iii) wherein the system is configured to utilize these techniques either simultaneously or sequentially, based on system requirements;   (iv) associate supplemental content with the unique identifiers while maintaining separation from the original digital resources within the interface;   (v) store associations between user accounts, supplemental content, and unique identifiers in a web-accessible database;   (vi) enable access to supplemental content upon subsequent recognition of the unique identifiers faithfully reproduced in response to linked digital resources; and   (vii) wherein compliance with copyright, terms of service, CCPA, and GDPR is ensured through mechanisms including user consent management, encryption, client-side operation, and data anonymization.   
     
     
         2 . A system for associating supplemental content with non-local web-based digital resources while retaining copyright, terms of service, CCPA, and GDPR compliance, comprising:
 (a) one or more processors configured to execute instructions within an interface capable of accessing web-based digital resources, including but not limited to browser-based environments, embedded web views, and other web-accessible platforms; and   (b) memory storing instructions that, when executed by the one or more processors, cause the system to:   (i) maintain user accounts enabling the creation, deletion, update, detection, and access of supplemental content via web-accessible platforms;   (ii) generate unique identifiers for web-based digital resources through content analysis techniques that comprises at least one or more techniques selected from the group consisting of URL recognition, metadata parsing, structural pattern analysis, ciphers, general encoding and decoding, detection mechanisms, URL recording, metadata tagging, photo recognition, image encoding/decoding, content parsing for proprietary codes, OCR-based text extraction, computer vision for analyzing visual and textual elements, and AI-based HTML fingerprint generation;   (iii) wherein the system is configured to utilize these techniques either simultaneously or sequentially, based on system requirements;   (iv) associate supplemental content with the unique identifiers while maintaining separation from the original digital resources within the interface;   (v) store associations between user accounts, supplemental content, and unique identifiers in a web-accessible database;   (vi) enable access to supplemental content upon subsequent recognition of the unique identifiers faithfully reproduced in response to linked digital resources; and   (vii) wherein compliance with copyright, terms of service, CCPA, and GDPR is ensured through mechanisms including user consent management, encryption, client-side operation, and data anonymization.   
     
     
         3 . The system of  claim 1 , wherein the generation of unique identifiers comprises at least one or more techniques selected from the group consisting of URL recognition, metadata parsing, structural pattern analysis, ciphers, general encoding and decoding, detection mechanisms, URL recording, metadata tagging, photo recognition, image encoding/decoding, content parsing for proprietary codes, OCR-based text extraction, computer vision for analyzing visual and textual elements, and AI-based HTML fingerprint generation. 
     
     
         4 . The system of  claim 2 , wherein the system enables access to supplemental content for unregistered users, comprising:
 (a) limiting unregistered users to view-only permissions for supplemental content associated with web-based digital resources;   (b) restricting unregistered users from performing interactive actions, including commenting, rating, or contributing new supplemental content; and   (c) anonymously tracking unregistered user interactions to generate recommendations without storing personally identifiable information.   
     
     
         5 . The system of  claim 2 , wherein the unique identifier generation comprises:
 (a) analyzing web-based digital resources using AI-based HTML processing techniques, including structural pattern recognition, DOM element analysis, and feature extraction algorithms, to create robust and dynamic fingerprint identifiers capable of adapting to changes in web page layouts and content;   (b) computer vision algorithms for analyzing web-based visual content;   (c) URL normalization for consistent identifier generation;   (d) metadata extraction for supplemental context;   (e) structural analysis of HTML tags and elements; and   (f) content fingerprinting techniques to ensure resource uniqueness.   
     
     
         6 . The system of  claim 2 , wherein content identifying uses one or more of:
 (a) content capture via browser extensions;   (b) visual processing and pattern detection of HTML elements;   (c) contextual analysis of web page content; and   (d) structural recognition of DOM elements.   
     
     
         7 . A system for enabling access to supplemental content via web-based platforms, comprising:
 (a) a web browsing interface configured to detect unique identifiers associated with supplemental content;   (b) a database storing associations between unique identifiers and supplemental content; and   (c) instructions executable by the system to:   (i) retrieve supplemental content based on detected unique identifiers; and   (ii) display the supplemental content in formats including, but not limited to, non-intrusive overlays, pop-ups, new tabs, new pages, or through JavaScript injection within the web browsing interface.   
     
     
         8 . The system of  claim 2 , wherein privacy protection is implemented using:
 (a) data encryption to secure user interactions;   (b) compliance management to adhere to privacy regulations, including but not limited to the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA);   (c) consent tracking mechanisms to manage and log user permissions for supplemental content access, including mechanisms to enable transparent user consent withdrawal or modification; and   (d) audit logs demonstrating compliance with privacy regulations.   
     
     
         9 . The system of  claim 2 , wherein security features and monitoring comprise:
 (a) threat detection to monitor browser-based activities;   (b) prevention mechanisms to block unauthorized access;   (c) security enforcement to maintain content and user data integrity;   (d) real-time security against scams using AI-driven anomaly detection and encryption-based safeguards; and   (e) real-time monitoring of user-generated supplemental content using AI algorithms to identify and flag inappropriate, illegal, or non-compliant posts based on geographical location and associated regional laws.   
     
     
         10 . The system of  claim 2 , wherein content management includes:
 (a) version control for supplemental content updates;   (b) access management to define user permissions; and   (c) distribution control to manage content visibility across web-based platforms.   
     
     
         11 . The system of  claim 2 , wherein accessibility features include:
 (a) navigation assistance for users with disabilities;   (b) content assistance for visually impaired users; and   (c) compatibility with screen readers for web-based environments.   
     
     
         12 . The system of  claim 1 , further comprising a non-intrusive notification mechanism to alert users to the availability of supplemental content associated with web-based digital resources, wherein the notification mechanism comprises:
 (a) visual, auditory, or contextual cues integrated into the browsing environment to indicate the presence of supplemental content, including pop-ups, toolbar navigation buttons, hyperlink navigation buttons, and JavaScript page injection;   (b) targeted auto-navigation and auto-redirect capabilities to a destination specified by a content creator;   (c) dynamic creation of additional browser tabs to display supplemental content alongside original web pages;   (d) dynamic adjustment of notification delivery based on user preferences, engagement patterns, or content relevance; and   (e) configurable notification settings enabling users to manage alert types, timing, and frequency.   
     
     
         13 . The system of  claim 2 , further comprising a non-intrusive notification mechanism to alert users to the availability of supplemental content associated with web-based digital resources, wherein the notification mechanism comprises:
 (a) visual, auditory, or contextual cues integrated into the browsing environment to indicate the presence of supplemental content;   (b) targeted auto-navigation to a destination specified by a content creator, wherein the destination is reviewed and approved by an AI-based compliance system to ensure adherence to platform rules and guidelines;   (c) dynamic adjustment of notification delivery based on user preferences, engagement patterns, or content relevance; and   (d) configurable notification settings enabling users to manage alert types, timing, and frequency.   
     
     
         14 . The system of  claim 2 , wherein the system comprises AI-driven content curation and association features including:
 (a) analyzing user behavior, preferences, and contextual relevance to recommend or generate content dynamically;   (b) predictive algorithms that analyze user behavior, preferences, and contextual relevance to deliver anticipatory content associations in real-time; and   (c) maintaining supplemental content association with digital resources by dynamically adapting to structural or content changes within the resources using AI-driven pattern recognition, tagging, and metadata analysis.   
     
     
         15 . The system of  claim 2 , wherein the system enables customized content sharing through:
 (a) user-customizable visibility settings for supplemental content, including the ability to restrict access based on user attributes, activity levels, or group membership;   (b) generation of time-limited access links for supplemental content, enabling temporary sharing without requiring user registration; and   (c) overlay capabilities for supplemental content in augmented reality environments, enabling enhanced interaction with digital resources.   
     
     
         16 . The system of  claim 2 , further comprising augmented reality (AR) capabilities integrated into the platform, wherein a mobile interface recognizes real-world objects and links them to supplemental digital content, enabling immersive interactions in retail, education, and entertainment environments. 
     
     
         17 . The system of  claim 2 , wherein verification of user-generated supplemental content is implemented using blockchain technology, ensuring immutability and integrity of content ownership and association with web pages. 
     
     
         18 . The system of  claim 2 , wherein smart contracts are incorporated to automate secure e-commerce transactions, verifying transaction conditions before releasing payments or digital assets. 
     
     
         19 . The system of  claim 2 , further comprising machine learning algorithms for dynamically adjusting supplemental content delivery based on user behavior and engagement patterns, wherein interaction data is analyzed to refine future content recommendations. 
     
     
         20 . The system of  claim 2 , further comprising a collaborative content creation and editing module that allows multiple users to contribute to a shared content overlay in real-time, with version control and moderation tools. 
     
     
         21 . The system of  claim 2 , wherein a notification mechanism is integrated into the web browsing experience, providing non-intrusive visual and auditory alerts to indicate the presence of supplemental content without altering the original web page. 
     
     
         22 . The system of  claim 2 , further comprising instructions that, when executed by the one or more processors, cause the system to implement client-side web resource association by:
 (a) executing all webpage identification and analysis operations exclusively within the client browser environment;   (b) generating resource identifiers without any server-side interaction with target webpages;   (c) maintaining supplemental content associations purely through client-side operations; and   (d) enabling content overlay without modifying or interacting with original web resources.   
     
     
         23 . The system of  claim 2 , further comprising instructions that, when executed by the one or more processors, cause the system to maintain dynamic content associations in the web browsing environment by:
 (a) monitoring identified webpages for structural or content changes;   (b) detecting modifications to webpage elements using content parsing and vision-based analysis;   (c) automatically updating content associations to maintain accuracy; and   (d) preserving supplemental content links despite webpage modifications.   
     
     
         24 . The system of  claim 2 , further comprising instructions that, when executed by the one or more processors, cause the system to implement granular permission-based content access control by:
 (a) maintaining hierarchical permission levels for content access;   (b) enabling content creators to define specific visibility rules;   (c) enforcing group-based and individual access restrictions; and   (d) validating user permissions before displaying supplemental content.   
     
     
         25 . The system of  claim 2 , further comprising instructions that, when executed by the one or more processors, cause the system to enable community-driven web resource evaluation by:
 (a) enabling community members to submit structured evaluations of web resources;   (b) aggregating multiple user experiences into comprehensive resource ratings;   (c) maintaining separation between ratings and original web resources; and   (d) providing real-time access to community evaluations during web browsing.